Harvey Pollack

895 citations
14 papers · 689 · h-index 11

Impact in

  • Genetics top 5%
    • Hemoglobinopathies and Related Disorders
    • Virus-based gene therapy research
  • Hematology top 10%
    • Iron Metabolism and Disorders

Papers in

Harvey Pollack

14 papers receiving 676 citations

Peers

Harvey Pollack
Comparison fields: 5 of 89
  • Genetics 161
  • Hematology 119
  • Orthopedics and Sports Medicine 51
  • Biophysics 34
  • Cardiology and Cardiovascular Medicine 88
Replace G Ceccherelli with:
G Ceccherelli Italy
F. Lamoury Australia
Cinzia Fortini Italy
Mickaël Ménager France
Baruch Zimerman Germany
Aurélien Corneau France
Yuanbin Song China
Tatsuya Kinoshita Japan
Yaohong Tan United States
Wim Renmans Belgium
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Citations per field
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G Ceccherelli · 1×
Citations per year

Countries citing papers authored by Harvey Pollack

Since Specialization
Citations

This map shows the geographic impact of Harvey Pollack's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Harvey Pollack with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Harvey Pollack more than expected).

Fields of papers citing papers by Harvey Pollack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Harvey Pollack. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Harvey Pollack. The network helps show where Harvey Pollack may publish in the future.

Co-authors

The 25 scholars most cited alongside Harvey Pollack, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Harvey Pollack Line = papers co-authored together Harvey Pollack links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2005189
2 2003127
3 200476
4 201776
5 201450
6
Applications of PET imaging with the proliferation marker [18F]-FLT.
201538
7
Lytic bone lesions in human neuroblastoma xenograft involve osteoclast recruitment and are inhibited by bisphosphonate.
200337
8 200330
9 201528
10 201817
11 200713
12 20203
13 20163
14
Computer Simulated Laboratory (CSL): Rationale and Approaches to the Structuring of CSL Exercises.
19762

About Harvey Pollack

Harvey Pollack is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics, Surgery, Molecular Biology and Genetics, having authored 14 papers that have together received 689 indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (1 paper), Ocular Surface and Contact Lens (1 paper), Hemoglobinopathies and Related Disorders (1 paper), Bacterial Infections and Vaccines (1 paper), Neuroscience and Neuropharmacology Research (1 paper), bioluminescence and chemiluminescence research (1 paper), Medical Imaging Techniques and Applications (1 paper) and Escherichia coli research studies (1 paper). The work is most often cited by research in Genetics (161 citations), Hematology (119 citations), Orthopedics and Sports Medicine (51 citations), Biophysics (34 citations) and Cardiology and Cardiovascular Medicine (88 citations). Harvey Pollack has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Marvin D. Nelson, Michelle Aguilar, John C. Wood, Rex Moats, Hanspeter Nick, Thomas D. Coates, Maya Otto‐Duessel, Xiuli Wang, Michael Rosol and Donald B. Kohn. Their work appears in journals such as Circulation, American Journal of Physiology-Gastrointestinal and Liver Physiology, Ophthalmology and Therapy, Blood and SLEEP.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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